Articles | Volume 22, issue 5
https://doi.org/10.5194/npg-22-589-2015
https://doi.org/10.5194/npg-22-589-2015
Brief communication
 | 
09 Oct 2015
Brief communication |  | 09 Oct 2015

Brief Communication: Earthquake sequencing: analysis of time series constructed from the Markov chain model

M. S. Cavers and K. Vasudevan

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Cited articles

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Cavers, M. and Vasudevan, K.: An application of Markov Chains in seismology, The Bulletin of the International Linear Algebra Society, 51, 2–7, 2013.
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Short summary
We introduced a new modified Markov chain model to generate a time series of the earthquake sequences from a global catalogue with an optimum time sampling of 9 days. Here, we subject the time series to a known analysis method namely an ensemble empirical mode decomposition to study the state-to-state fluctuations in each of the intrinsic mode functions. Also, we establish the power-law behaviour of the time series with the Fano factor and Allan factor used in time-correlative behaviour studies